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La Trobe University

  • 24% international / 76% domestic

Master of Sport Analytics

  • Masters (Coursework)

At the elite level of sport, the smallest details can mean the difference between winning and losing. Those details come to life in the emerging field of sport analytics.

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time
Course Code
103840C
Study Mode
In person
Intake Months
Feb
Domestic Fees
$32,000 per year / $64,000 total
International Fees
$38,200 per year / $76,400 total

About this course

At the elite level of sport, the smallest details can mean the difference between winning and losing. Those details come to life in the emerging field of sport analytics.

Designed in collaboration with industry, La Trobe's Master of Sport Analytics gives you the skills and experience needed to excel in this exciting and fast-growing industry. It's an ideal choice if you're already working in sport and want to upskill, or have an interest in data analytics and want to apply your knowledge to sport. Whatever your background, our academics and industry partners will support you to succeed.

Learn how to use data to boost athlete performance and wellbeing. You'll get hands-on experience with industry-standard technologies, such as wearable sensors (Catapult GPS and IMeasureU accelerometers), computer vision and video annotation software (Keemotion and Sportscode), and athlete management systems.

See where your new skills could take you. You'll cover talent ID, athlete management, performance and injury modelling, and broadcasting and fan engagement during your degree. You'll develop an intricate understanding of cutting-edge machine learning techniques and use advanced analytics tools, including R, Python and SQL - all required for a successful career in sport analytics and data science.

In your second year, you'll have the opportunity to complete a practical learning project. You could work under the supervision of an industry expert or academic and hone your data analysis skills in a real industry setting. Previous students have completed projects with Tennis Australia, AFL Victoria, Champion Data, and Carlton and St Kilda Football Clubs.

You'll learn:

  • Sport analytics methods
    • Understand the basic practices for capturing, handling, cleaning and processing data generated from sport.
  • Generating insights from data
    • Learn how to use data to develop insights into talent identification, athlete management, injury management and fan engagement.
  • Machine learning techniques
    • Understand and use data-programmed machines to detect patterns and predict future sporting events.
  • Data visualisations
    • Learn to select and use analytical tools and visualisations to clearly communicate outcomes and findings.

The qualification awarded on graduation is recognised in the Australian Qualifications Framework (AQF) as Level 9 - Masters Degree.

Sample course structure

Please note, the following course structure is indicative and subject to change depending on your course location, offer year or how you tailor your course with specialisations, majors, minors and electives. Structures for the following year are not normally finalised until October, so the sample provided is based on the most recently approved structure. For more information, please refer to the La Trobe University Handbook.

To qualify for the award of Master of Sport Analytics, students must complete a total of 240 credit points across 2 years.

Year 1 requires the completion of 120 credit points including:

  • 120 credit points from chosen Core

Year 2 requires the completion of 120 credit points including:

  • 120 credit points from chosen Core
Study options

Core subjects are required subjects in your course. You need to complete these subjects to attain your degree.

Subject name Subject code Year Credit points ACADEMIC INTEGRITY MODULE LTU0AIM 1 0 ADVANCED SPORT ANALYTICS SPE5ASA 1 15 ANALYTICAL METHODS IN SPORT SPE5AMS 1 15 DATABASE FUNDAMENTALS CSE4DBF 1 15 INTRODUCTION TO PROGRAMMING CSE4IP 1 15 PREDICTIVE ANALYTICS BUS5PA 1 15 PRINCIPLES OF SPORT ANALYTICS SPE5PSA 1 15 SPORT ANALYTICS IN PRACTICE SPE5SAP 1 15 SPORT DATA CAPTURE SPE5SDC 1 15 SPORT ANALYTICS PROJECT A SPE5SPA 2 60 SPORT ANALYTICS PROJECT B SPE5SPB 2 60
See La Trobe University Handbook for more details

The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options. The delivery of this course can vary between campuses.

  • Melbourne (Bundoora)

To view other campus handbook course details, please select relevant campus in the drop down.

Study locations

Melbourne

Career pathways

New technologies and growing demand for insights and performance analysis have created exciting opportunities for sport analysts. Employers in a range of industries - including sport technology companies, gaming and sport clubs - are looking for people with specialised sport analysis skills. You could pursue a career as a:

  • Sport analyst
    • Provide insights and advice about various sports data to inform decision-making.
  • Data scientist
    • Use statistical tools and methods, machine learning and programming skills to extract and interpret data.
  • Game analyst
    • Analyse data from games, including playing patterns and problems, and present information to inform improvements.
  • Data analyst
    • Collect, process, clean and analyse data from various sources to produce reports and insights.

Graduate outcomes

Graduate satisfaction and employment outcomes for Health Services & Support courses at La Trobe University.
85.6%
Overall satisfaction
84%
Skill scale
77.7%
Teaching scale
72%
Employed full-time
$67.9k
Average salary